Determining the most suitable time for field visits in asphalt pavements with the help of genetic algorithm

The main goal of this article is to determine the most appropriate time for field observations in pavement management by using the algorithm. It will be innovative to prevent more costs and have better planning for pavement maintenance and repair so that the roads always have an acceptable level of service. In addition, in this topic, the financial issues related to field observations should not be neglected; But these costs are very small compared to the huge costs spent on roads; However, the indicators affecting the cost of field harvests should also be specified and these costs should be optimized along with determining the best time for conducting the inspection. Therefore, this article tries to determine the most appropriate time for field surveys, so that with the first surveys, relevant modeling, necessary planning, financial estimates, etc. can be done and steps can be taken to optimize inspections of asphalt pavements. and in the meantime, traffic and financial issues are also in mind. For this purpose, according to the effective factors and with the help of genetic algorithm, the required program was implemented in MATLAB software and tested for different samples from Khuzestan province, the results of which are very impressive and reasonable. By giving the age of the pavement and the coefficient of importance of the pavement, the genetic algorithm starts working and optimizes the traffic, temperature, PCI and quality factor to finally obtain the optimal time of field harvests.